BOOK-CHAPTER
Non-Stationary Signal Analysis Using Time Frequency Transform
M. Kasi SubrahmanyamBirendra Biswal
Year: 2014 Smart innovation, systems and technologies Pages: 353-360 Publisher: Springer Nature
Keywords:
Time–frequency analysis Pattern recognition (psychology) Wavelet transform Artificial intelligence Computer science Feature (linguistics) Instantaneous phase Continuous wavelet transform SIGNAL (programming language) Wavelet S transform Mathematics Speech recognition Computer vision Discrete wavelet transform
Metrics
0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
10
Refs
0.11
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Topics
Machine Fault Diagnosis Techniques
Physical Sciences → Engineering → Control and Systems Engineering
Blind Source Separation Techniques
Physical Sciences → Computer Science → Signal Processing
Image and Signal Denoising Methods
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Related Documents
BOOK-CHAPTER
Non-Stationary Signal Analysis Time-Frequency Approach
Ljubiša StankovićMiloš DakovićT. Thayaparan
Academic press library in signal processing Year: 2014 Pages: 27-142
JOURNAL ARTICLE
Time-frequency analysis of non-stationary signals using frequency slice wavelet transform
M. Venkata SubbaraoP. Samundiswary
Year: 2016 Pages: 1-6
JOURNAL ARTICLE
Time-frequency analysis of non-stationary electrocardiogram signals using Hilbert-Huang Transform
Year: 2015 Pages: 1156-1159
JOURNAL ARTICLE
Non-stationary signal classification using joint frequency analysis
Somsak SukittanonLes AtlasJ.W. PittonJohn McLaughlin
Journal: 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). Year: 2004 Vol: 1 Pages: VI-453
BOOK-CHAPTER
The Non-stationary Signal of Time-Frequency Analysis Based on Fractional Fourier Transform and Wigner-Hough Transform
Lecture notes in electrical engineering Year: 2013 Pages: 1047-1054